Before going to the elucidation first we have to know “What is Tableau?” Tableau is a software company founded in the year 2003 by Chris, Pat and Christian. Tableau company headquartered in Seattle, United States. Also, it is a powerful data visualization tool which is useful for the non-technical analyst to access and work in dashboards form. Tableau software stands first in the survey of world’s business intelligence companies under agility and business benefits criteria. Tableau comes in the epoch of Microsoft excel and faced a lot of competition with other companies like business objects, Cognos. The main difference between MS excel and tableau is spreadsheet tools are used in excel and data visualization is used in the tableau.

Connecting with Data:

Tableau connects with different types of data sources like databases, text, excel file. Tableau supports many types of data connectors and each one has different characteristics.  It also has multiple ways of representing data in different styles. The main principle of Tableau is to connect, learn and enjoy.

The journey towards Cross data process:

Initially, many use cases are solved by tableau with the help of data blending technique. But, the data blending doesn’t happen effectively because of the huge data from different sources. That’s why cross data process introduced in the tableau. By using this process the non-technical analyst can directly join with across multiple data.

REST Application Program Interface:

The document application program interface provides a supportive path for people who are working with files like .tds and .tws. It helps to create a tableau ’s template workbook. After that many improvements added to the REST API. One of the biggest improvement is filtering and sorting. Application program interface is used to manage the data connections, users, workbooks, and other server resources.

Cloud support in Tableau:

Clouds are powered by internal business systems of the tableau. Clouds available anywhere which increases security and flexibility. With the help of the cloud, companies can deploy the platform of customer relationship management. Tableau online supports the following cloud data sources.

  • Spark SQL
  • Amazon Redshift
  • Google Cloud SQL
  • Snowflake
  • Amazon Aurora
  • SAP HANA
  • Google BigQuery

Greater Visualizations and Insight:

Tableau is used to provide great visualizations for the understanding of trends. The data can be analyzed by using labels, colors and envelop. It is also useful for people to analyze data very easily without any goal in mind and also useful for the people who don’t know how to code. Tableau can also be used in presentations with ease of use.

Main products and benefits of Tableau:

The main products of the Tableau are Desktop, server, Tableau online, reader and public. Tableau desktop allows to understand and analyze big data instinctively for anyone. Tableau server provides desktop’s big data advantages. Tableau online is the server’s hosted version. The benefits of Tableau are: portability, large integration, build interactive dashboards, connects to R, the device designer.

Tableau Workspace:

  • Toolbar, popularity bar
  • Knowledge Window
  • Tooltips, cards, and cabinets
  • Workbooks and sheets
  • Changing repository area
  • Reorganising workspace.

Features and  Benefits of Tableau:

Tableau can provide solutions to all kinds of departments and industries. The unique features of tableau are: hybrid cloud connectivity, visual discovery, blend diverse data sets, revision history, device designer, cross-database join, self-reliant, architecture agnostic, improved support for mobiles and speed of analysis.

Calculations in Tableau:

The basic expressions transform values at the data source level or at the visualization level. A transformation can apply by using table calculations to the visualization values. We can use this table calculations for transforming values into rankings, show running totals, and percent of the total.

Advanced collaboration:

The main aim of collaboration features is to facilitate the group analytics. Most of the functionality is on a public dashboard. This collaboration is used to bring all the team members on the same page. The main purpose of using Tableau for collaboration is to make sure that separate task shouldn’t be there for data analysis.

Leverage the database power:

Tableau is used for query performance optimization. By using Tableau we can leverage the database power easily. Also, it has loaded and transform features. We can also change the types of data. MongoDB is used to create the database and also used as a data source for SQL analytics and visualization tools like Tableau. We can connect Tableau with MongoDB through BI connector. MongoDB Query Language(MQL) which is highly-expressive and many aggregation framework operator tools are used to transform and process the information within the MongoDB.

Conclusion:

A lot of information and data can be handled by Tableau. Tableau’s strength is about how we tell our story. We have got many tools and techniques at our disposal to help that work. By considering your caption, title, and concise you can get your report quickly and also it can recount stories.


Contributor: Anji Velagana, a graduate in Electronics and Communication Engineering from Jawaharlal Technological University, Kakinada. He is currently working for MindMajix Technologies as a content strategist. (LinkedIn and Twitter.)


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